


'''simple docstring'''
from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__          = logging.get_logger(__name__)


UpperCamelCase__          = {
    '''nielsr/canine-s''': 2_0_4_8,
}

# Unicode defines 1,114,112 total “codepoints”
UpperCamelCase__          = 1_1_1_4_1_1_2

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
UpperCamelCase__          = 0

UpperCamelCase__          = 0Xe_000
UpperCamelCase__          = 0Xe_001
UpperCamelCase__          = 0Xe_002
UpperCamelCase__          = 0Xe_003
UpperCamelCase__          = 0Xe_004

# Maps special codepoints to human-readable names.
UpperCamelCase__          = {
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
UpperCamelCase__          = {name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}




class      lowerCamelCase_  (      __a ):
      lowerCAmelCase__							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






      def __init__(   self							:       Union[str, Any]		,		_A							:       List[Any]=chr(_A					)		,		_A							:       Optional[Any]=chr(_A					)		,		_A							:       Dict=chr(_A					)		,		_A							:       Optional[int]=chr(_A					)		,		_A							:       Optional[int]=chr(_A					)		,		_A							:       int=chr(_A					)		,		_A							:       Tuple=False		,		_A							:       str=2_048		,		**_A							:       Union[str, Any]		,		):


          '''simple docstring'''


          UpperCAmelCase__     :						List[Any]						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else bos_token
          UpperCAmelCase__     :						Dict						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else eos_token
          UpperCAmelCase__     :						Optional[int]						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else sep_token
          UpperCAmelCase__     :						Optional[Any]						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else cls_token
          UpperCAmelCase__     :						List[Any]						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          UpperCAmelCase__     :						Any						=							AddedToken(_A		,		lstrip=_A		,		rstrip=_A					) if isinstance(_A		,		_A					) else mask_token

          super().__init__(
              bos_token=_A		,		eos_token=_A		,		sep_token=_A		,		cls_token=_A		,		pad_token=_A		,		mask_token=_A		,		add_prefix_space=_A		,		model_max_length=_A		,		**_A		,		)

          # Creates a mapping for looking up the IDs of special symbols.
          UpperCAmelCase__     :						Dict[str, int]						=							{}
          for codepoint, name in SPECIAL_CODEPOINTS.items():
              UpperCAmelCase__     :						int						=							codepoint

          # Creates a mapping for looking up the string forms of special symbol IDs.
          UpperCAmelCase__     :						Dict[int, str]						=							{
              codepoint: name for name, codepoint in self._special_codepoints.items()
          }

          UpperCAmelCase__     :						Dict						=							UNICODE_VOCAB_SIZE
          UpperCAmelCase__     :						List[Any]						=							len(self._special_codepoints					)






      @property
      def lowercase_				(   self							:       Dict					):


          '''simple docstring'''


          return self._unicode_vocab_size






      def lowercase_				(   self							:       Tuple		,		_A							:       str					):


          '''simple docstring'''


          return list(_A					)






      def lowercase_				(   self							:       int		,		_A							:       str					):


          '''simple docstring'''


          try:
              return ord(_A					)
          except TypeError:
              raise ValueError(f"""invalid token: '{token}'"""					)






      def lowercase_				(   self							:       List[Any]		,		_A							:       int					):


          '''simple docstring'''


          try:
              if index in SPECIAL_CODEPOINTS:
                  return SPECIAL_CODEPOINTS[index]
              return chr(_A					)
          except TypeError:
              raise ValueError(f"""invalid id: {index}"""					)






      def lowercase_				(   self							:       Any		,		_A							:       Optional[Any]					):


          '''simple docstring'''


          return "".join(_A					)






      def lowercase_				(   self							:       List[Any]		,		_A							:       List[int]		,		_A							:       Optional[List[int]] = None					):


          '''simple docstring'''


          UpperCAmelCase__     :						str						=							[self.sep_token_id]
          UpperCAmelCase__     :						Any						=							[self.cls_token_id]

          UpperCAmelCase__     :						Tuple						=							cls + token_ids_a + sep
          if token_ids_a is not None:
              result += token_ids_a + sep
          return result






      def lowercase_				(   self							:       Dict		,		_A							:       List[int]		,		_A							:       Optional[List[int]] = None		,		_A							:       bool = False					):


          '''simple docstring'''


          if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=_A		,		token_ids_a=_A		,		already_has_special_tokens=_A					)

          UpperCAmelCase__     :						Tuple						=							[1] + ([0] * len(_A					)) + [1]
          if token_ids_a is not None:
              result += ([0] * len(_A					)) + [1]
          return result






      def lowercase_				(   self							:       List[str]		,		_A							:       List[int]		,		_A							:       Optional[List[int]] = None					):


          '''simple docstring'''


          UpperCAmelCase__     :						Tuple						=							[self.sep_token_id]
          UpperCAmelCase__     :						int						=							[self.cls_token_id]

          UpperCAmelCase__     :						Union[str, Any]						=							len(cls + token_ids_a + sep					) * [0]
          if token_ids_a is not None:
              result += len(token_ids_a + sep					) * [1]
          return result






      def lowercase_				(   self							:       Optional[Any]		,		_A							:       str		,		_A							:       Optional[str] = None					):


          '''simple docstring'''


          return ()




from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream







class 							lowerCamelCase__						(				UpperCAmelCase   ):






			"""simple docstring"""






			def __init__(				self   ,    snake_case   ,    snake_case = None   ,    snake_case = None   ,    snake_case = False   ,    snake_case = False   ,    snake_case = None   ,    snake_case = None   ,    **snake_case   ,    ):

						'''simple docstring'''


						super().__init__(
						    features=snake_case   ,    cache_dir=snake_case   ,    keep_in_memory=snake_case   ,    streaming=snake_case   ,    num_proc=snake_case   ,    **snake_case   ,    )
						UpperCamelCase__       =							Generator(
						    cache_dir=snake_case   ,    features=snake_case   ,    generator=snake_case   ,    gen_kwargs=snake_case   ,    **snake_case   ,    )







			def 					snake_case__					(				self  ):

						'''simple docstring'''


						if self.streaming:
									UpperCamelCase__       =							self.builder.as_streaming_dataset(split="train"  )
						# Build regular (map-style) dataset
						else:
									UpperCamelCase__       =							None
									UpperCamelCase__       =							None
									UpperCamelCase__       =							None
									UpperCamelCase__       =							None

									self.builder.download_and_prepare(
									    download_config=snake_case   ,    download_mode=snake_case   ,    verification_mode=snake_case   ,    base_path=snake_case   ,    num_proc=self.num_proc   ,    )
									UpperCamelCase__       =							self.builder.as_dataset(
									    split="train"   ,    verification_mode=snake_case   ,    in_memory=self.keep_in_memory  )
						return dataset


